Triple
T16874309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blüemlisalphütte |
E421257
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hohtürli Pass |
E400978
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hohtürli Pass | Statement: [Blüemlisalphütte, near, Hohtürli Pass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohtürli Pass Context triple: [Blüemlisalphütte, near, Hohtürli Pass]
-
A.
Hohtürli Pass
chosen
Hohtürli Pass is a high mountain pass in the Swiss Alps that offers hikers panoramic views of the surrounding peaks and glaciers.
-
B.
Karakash Pass
Karakash Pass is a high mountain pass in the Kunlun Mountains of western China, historically used as a route between Xinjiang and the Tibetan Plateau.
-
C.
Wakhjir Pass
Wakhjir Pass is a high mountain pass in the Hindu Kush that forms a remote and rugged border crossing between Afghanistan and China.
-
D.
Hochtor Pass
Hochtor Pass is a high mountain pass in the Austrian Alps, best known as a key point along the scenic Grossglockner High Alpine Road.
-
E.
Lamkhaga Pass
Lamkhaga Pass is a high-altitude Himalayan mountain pass that serves as a challenging trekking route connecting Uttarakhand’s Uttarkashi region with Kinnaur in Himachal Pradesh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b2e67c81908e2313491d16353f |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:29 a.m.